Abstract: In one example, a computer system can generate a graphical user interface (GUI) for forecasting software including a drag-and-drop canvas with a set of rearrangeable nodes defining a forecasting pipeline. The computer system can detect a user interaction for attaching an external-language execution node to the pipeline, which can be used to insert custom code defined using an external programming language. The computer system can receive the custom code. The computer system can receive a user input to initiate execution of the pipeline. The computer system can generate wrapped custom code by augmenting the custom code with additional program code including shared variables. The computer system can provide the wrapped custom code to a set of execution threads configured to execute the wrapped custom code as part of the pipeline to generate one or more forecasts. The computer system can output the forecasts in the GUI.

Abstract: In one example, a computer system can generate a graphical user interface (GUI) for forecasting software including a drag-and-drop canvas with a set of rearrangeable nodes defining a forecasting pipeline. The computer system can detect a user interaction for attaching an external-language execution node to the pipeline, which can be used to insert custom code defined using an external programming language. The computer system can receive the custom code. The computer system can receive a user input to initiate execution of the pipeline. The computer system can generate wrapped custom code by augmenting the custom code with additional program code including shared variables. The computer system can provide the wrapped custom code to a set of execution threads configured to execute the wrapped custom code as part of the pipeline to generate one or more forecasts. The computer system can output the forecasts in the GUI.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed that recognize products using visual and textual information.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to analyze characteristics of text of interest using a computing system. An example apparatus includes a text detector to provide text data from a first image, the first image including a first text region of interest and a second text region not of interest, a color-coding generator to generate a plurality of color-coded text-map images, the plurality of color-coded text-map images including color-coded segments with different colors, the color-coded segments corresponding to different text characteristics, and a convolutional neural network (CNN) to determine a first location in the first image as more likely to be the first text region of interest than a second location in the first image corresponding to the second text region that is not of interest based on performing a CNN analysis on the first image and the plurality of color-coded text-map images.

Abstract: Methods, apparatus, and articles manufacture to decode documents based on images using artificial intelligence are disclosed. An example apparatus includes a model executor to input an image into a first artificial intelligence (AI)-based model to generate detected columns of text in the image; and input the image into a second AI-based model to classify the detected columns into categories; a cell identifier to identify rows or cells in the detected columns; and a report generator to: link information corresponding to the rows or cells in the detected columns with corresponding categories; and generating a report based on the linked information.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to analyze characteristics of text of interest using a computing system. An example apparatus includes a text detector to provide text data from a first image, the first image including a first text region of interest and a second text region not of interest, a color-coding generator to generate a plurality of color-coded text-map images, the plurality of color-coded text-map images including color-coded segments with different colors, the color-coded segments corresponding to different text characteristics, and a convolutional neural network (CNN) to determine a first location in the first image as more likely to be the first text region of interest than a second location in the first image corresponding to the second text region that is not of interest based on performing a CNN analysis on the first image and the plurality of color-coded text-map images.

Abstract: Methods, apparatus, and articles manufacture to decode documents based on images using artificial intelligence are disclosed. An example apparatus includes a model executor to input an image into a first artificial intelligence (AI)-based model to generate detected columns of text in the image; and input the image into a second AI-based model to classify the detected columns into categories; a cell identifier to identify rows or cells in the detected columns; and a report generator to: link information corresponding to the rows or cells in the detected columns with corresponding categories; and generating a report based on the linked information.

Abstract: The present invention relates to compounds of Formula (I): wherein R1 is as defined herein, or an acceptable salt, solvate, prodrug or hydrate thereof. The compounds of Formula I are inhibitors of metalloenzymes, such as lanosterol demethylase (CYP51).

Abstract: The present disclosure is related to the field of agrochemicals, including compound I and its' use to control Cercospora leaf spot in sugar beets.

Abstract: The present invention relates to compounds of Formula (I): wherein R1 is as defined herein, or an acceptable salt, solvate, prodrug or hydrate thereof. The compounds of Formula I are inhibitors of metalloenzymes, such as lanosterol demethylase (CYP51).

Abstract: In some examples, computing devices can partition timestamped data into groups. The computing devices can then distribute the timestamped data based on the groups. The computing devices can also obtain copies of a script configured to process the timestamped data, such that each computing device receives a copy of the script. The computing devices can determine one or more code segments associated with the groups based on content of the script. The one or more code segments can be in one or more programming languages that are different than a programming language of the script. The computing devices can then run the copies of the script to process the timestamped data within the groups. This may involve interacting with one or more job servers configured to run the one or more code segments associated with the groups.

Abstract: In some examples, computing devices can partition timestamped data into groups. The computing devices can then distribute the timestamped data based on the groups. The computing devices can also obtain copies of a script configured to process the timestamped data, such that each computing device receives a copy of the script. The computing devices can determine one or more code segments associated with the groups based on content of the script. The one or more code segments can be in one or more programming languages that are different than a programming language of the script. The computing devices can then run the copies of the script to process the timestamped data within the groups. This may involve interacting with one or more job servers configured to run the one or more code segments associated with the groups.

Abstract: In some examples, computing devices can partition timestamped data into groups. The computing devices can then distribute the timestamped data based on the groups. The computing devices can also obtain copies of a script configured to process the timestamped data, such that each computing device receives a copy of the script. The computing devices can determine one or more code segments associated with the groups based on content of the script. The one or more code segments can be in one or more programming languages that are different than a programming language of the script. The computing devices can then run the copies of the script to process the timestamped data within the groups. This may involve interacting with one or more job servers configured to run the one or more code segments associated with the groups.

Abstract: In some examples, computing devices can partition timestamped data into groups. The computing devices can then distribute the timestamped data based on the groups. The computing devices can also obtain copies of a script configured to process the timestamped data, such that each computing device receives a copy of the script. The computing devices can determine one or more code segments associated with the groups based on content of the script. The one or more code segments can be in one or more programming languages that are different than a programming language of the script. The computing devices can then run the copies of the script to process the timestamped data within the groups. This may involve interacting with one or more job servers configured to run the one or more code segments associated with the groups.

Abstract: The present disclosure is related to the field of agrochemicals, including compound I and it's use to control fungal diseases of barley. Compound (I).

Abstract: The present invention relates to compounds of Formula (I): wherein R1 is as defined herein, or an acceptable salt, solvate, prodrug or hydrate thereof. The compounds of Formula I are inhibitors of metalloenzymes, such as lanosterol demethylase (CYP51).

Abstract: A technique facilitates the dependable, long-lasting use of a downhole component coupled into a drill string. In some applications, the downhole component comprises a stabilizer having a plurality of blades extending outwardly from a body, e.g. sleeve. Various features of the downhole component enhance the usefulness and dependability of the downhole component. Examples of such features comprise uniquely shaped surfaces; materials with a desired hardness, toughness, and impact strength; and/or wear protection elements incorporated into the downhole component.

Abstract: A locking ring may be adapted to be positioned between first and second components. The locking ring may include a body having a bore formed axially therethrough. A blade may be disposed on an outer radial surface of the body. At least a portion of a centerline through the blade may be oriented at an angle from about 1° to about 60° with respect to a centerline through the body. A recess, a protrusion, or both may be formed in an outer axial surface of the body.

Abstract: A process for preparing a beanless flavor soymilk or okara or a combination thereof, which compares the stages of containing soybeans with deaerated water under an atmosphere of carbon dioxide for a time and a temperature effective to allow said soybeans to soak and swell; washing said soaked and swollen soybeans with water to remove oligosaccharides and ripening enzymes; grinding said washed soybeans under an at atmosphere of carbon dioxide by bubbling in carbon dioxide in a sublimated state to form a slurry; and filtering the slurry to produce raw okara and soymilk.

Abstract: Methods and computer readable media are disclosed related to installing and distributing multiple software products. Computer code necessary to install multiple, related but distinct software products is stored on the storage media and includes at least some primary code that is necessary to all software products installable from a storage medium or set of media. Installation of a specific software product includes the installation of the primary code and at least some product-specific code. Installation is performed by an installer that identifies and installs the appropriate software product based on information, such as a product key, provided by the user. The installer may use a lookup table to identify the code to install and verify that the user is entitled to the software product.